Fault Tolerant Features and Experiments of ANTS Distributed Real-Time System. ANTS: An Approach for High-Performance and Ultra-Dependability.

Abstract

The ANTS project at the University of Rhode Island introduces the concept of Active Nodal Task Seeking (ANTS) as a way to efficiently design and implement dependable, high-performance, distributed computing. This paper presents the fault tolerant design features that have been incorporated in the ANTS experimental system implementation. The results of performance evaluations and fault injection experiments are reported. The fault-tolerant version of ANTS categorizes all computing nodes into three groups. They are: the up-and- running green group, the self-diagnosing yellow group and the failed red group. Each available computing node will be placed in the yellow group periodically for a routine diagnosis. In addition, for long-life missions, ANTS uses a monitoring scheme to identify faulty computing nodes. In this monitoring scheme, the communication pattern of each computing node is monitored by two other nodes.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 15, 1995
Accession Number
ADA290133

Entities

People

  • Donald W. Tufts
  • Jien-chung Lo
  • Patrick Dominic-savio

Organizations

  • University of Rhode Island

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Application Software
  • Communication Channels
  • Communication Networks
  • Computer Programming
  • Computers
  • Data Transmission
  • Detection
  • Distributed Computing
  • Failure Mode And Effect Analysis
  • Fault Tolerance
  • Local Area Networks
  • Long Life
  • Monitoring
  • Network Protocols
  • Operating Systems
  • Rhode Island
  • Universities

Fields of Study

  • Computer science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computer Networking
  • Parallel and Distributed Computing.